Clinical Algorithm for Ultrasound-guided Facial and Neck Rejuvenation.

Abstract

The global rise in demand for minimally invasive esthetic procedures has underscored the need for enhanced precision and safety. This study presents a novel clinical algorithm integrating real-time ultrasound (US) guidance into facial and neck rejuvenation treatments to improve procedural outcomes. Conducted over four years with 56 patients, the study utilized high-frequency B-mode imaging, Doppler functionality, and superb microvascular imaging (SMI) to map anatomical structures, optimize treatment planning, and guide interventions. The algorithm follows a systematic, step-by-step protocol encompassing patient selection, anatomical assessment, procedure execution, and postoperative evaluation. Results indicated a significant improvement in procedural precision, with reduced complication rates and higher patient satisfaction. Notably, 85% of patients rated their outcomes as "much improved" or "very much improved" on the Global Aesthetic Improvement Scale (GAIS). The US-guided approach enabled more accurate filler placement, minimized vascular complications, and improved outcomes compared to traditional techniques. These findings support the integration of US diagnostics in esthetic practice to enhance safety, optimize results, and contribute to the evolving standards of care in non-surgical facial rejuvenation.